Kolla Eduard, Adamová Veronika, Vertaľ Peter
Institute of Forensic Research and Education, University of Žilina, Univerzitná, 8215/1 010 26 Žilina, Slovakia.
Faculty of Security Engineering, University of Žilina, Univerzitná, 8215/1 010 26 Žilina, Slovakia.
Sci Justice. 2022 Jan;62(1):94-109. doi: 10.1016/j.scijus.2021.11.001. Epub 2021 Nov 14.
Video recordings from digital cameras implemented in road vehicles present a valuable source of data concerning various dangerous traffic situations, i.e., road accidents or near-miss incidents. This data is readily available and numerous methods for forensic reconstruction of traffic situations from vehicle video were presented in the past. New alternative method for reconstruction of traffic situations from vehicle video is presented in this article. The method is based on the fusion of kinetic vehicle trajectory simulation within 3D laser scanner point cloud, projective geometry, and processing of video footage from moving vehicle camera. The method offers accurate reconstruction of general vehicle motion within relevant time domain whereby in-depth technical information about traffic incident can be quantitatively extracted from video footage. The result is physics-based 3D projection of simulated vehicle motion on the motion of real vehicle recorded by moving monocular camera. The method was validated within performed experimental test runs with respect to vehicle speed, distance travelled, acceleration/deceleration and directional quantities (yaw rate, yaw angle). The method was further applied in the reconstruction of real-world traffic events.
安装在道路车辆中的数码相机所拍摄的视频记录提供了有关各种危险交通情况（即道路事故或险些发生事故的事件）的宝贵数据来源。这些数据很容易获取，过去已经提出了许多从车辆视频中进行交通情况法医重建的方法。本文提出了一种从车辆视频中重建交通情况的新替代方法。该方法基于3D激光扫描仪点云内的动力学车辆轨迹模拟、射影几何以及来自移动车辆摄像头的视频片段处理的融合。该方法能够在相关时域内准确重建一般车辆运动，从而可以从视频片段中定量提取有关交通事件的深入技术信息。结果是基于物理的模拟车辆运动在由移动单目摄像头记录的真实车辆运动上的3D投影。该方法在关于车速、行驶距离、加速/减速和方向量（偏航率、偏航角）的实验测试运行中得到了验证。该方法还进一步应用于现实世界交通事件的重建。
